IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i8p3156-d1373057.html
   My bibliography  Save this article

Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization

Author

Listed:
  • Miodrag Čelebić

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Dragoljub Bajić

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina
    Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Sanja Bajić

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Mirjana Banković

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

  • Duško Torbica

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Aleksej Milošević

    (Faculty of Mining, University of Banja Luka, 79000 Prijedor, Republic of Srpska, Bosnia and Herzegovina)

  • Dejan Stevanović

    (Faculty of Mining and Geology, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

The selection of the optimal equipment for discontinuous haulage systems is one of the most important decisions that need to be made when an open-pit mine is designed. There are a number of influencing factors, including natural (geological and environmental), technical, economic, and social. Some of them can be expressed numerically, in certain units of measure, while others are descriptive and can be stated by linguistic variables depending on the circumstances of the project. These factors are characterized by a high level of uncertainty, associated with both exploration and mining operations. The experience, knowledge, and expert judgment of engineers and specialists are of key importance for the management of mining processes, consistent with the issues stemming from the dynamic expansion of open-pit mines in space over time. This paper proposes an integrated model that translates all the criteria that affect the selection of the optimal solution into linguistic variables. By employing the multiple-criteria decision-making method and combining it with fuzzy logic, we developed an algorithm that addresses all the above-mentioned uncertainties inherent in various mining processes where the experience of experts forms the basis. The fuzzy analytic hierarchy process is used in order to deal with trending decision problems, such as mining equipment and management system selection. The entire algorithm was applied to a real case study—the Ugljevik East 1 open-pit mine.

Suggested Citation

  • Miodrag Čelebić & Dragoljub Bajić & Sanja Bajić & Mirjana Banković & Duško Torbica & Aleksej Milošević & Dejan Stevanović, 2024. "Development of an Integrated Model for Open-Pit-Mine Discontinuous Haulage System Optimization," Sustainability, MDPI, vol. 16(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3156-:d:1373057
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/8/3156/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/8/3156/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abbas Aghajani Bazzazi & Morteza Osanloo & Behrooz Karimi, 2011. "A New Fuzzy Multi Criteria Decision Making Model For Open Pit Mines Equipment Selection," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(03), pages 279-300.
    2. Tolga, Ethem & Demircan, Murat Levent & Kahraman, Cengiz, 2005. "Operating system selection using fuzzy replacement analysis and analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 97(1), pages 89-117, July.
    3. Katarina Urošević & Zoran Gligorić & Igor Miljanović & Čedomir Beljić & Miloš Gligorić, 2021. "Novel Methods in Multiple Criteria Decision-Making Process (MCRAT and RAPS)—Application in the Mining Industry," Mathematics, MDPI, vol. 9(16), pages 1-21, August.
    4. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    5. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. D. Bajić & D. Polomčić & J. Ratković, 2017. "Multi-Criteria Decision Analysis for the Purposes of Groundwater Control System Design," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4759-4784, December.
    2. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    3. Animesh Biswas & Samir Kumar, 2019. "Generalization of extent analysis method for solving multicriteria decision making problems involving intuitionistic fuzzy numbers," OPSEARCH, Springer;Operational Research Society of India, vol. 56(4), pages 1142-1166, December.
    4. Ezgi Güler & Süheyla Yerel Kandemir, 2024. "Analysis of PM 10 Substances via Intuitionistic Fuzzy Decision-Making and Statistical Evaluation," Sustainability, MDPI, vol. 16(17), pages 1-23, September.
    5. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    6. Caprioli, Caterina & Bottero, Marta, 2021. "Addressing complex challenges in transformations and planning: A fuzzy spatial multicriteria analysis for identifying suitable locations for urban infrastructures," Land Use Policy, Elsevier, vol. 102(C).
    7. Wendong Jiang, 2024. "Key Selection Factors Influencing Animation Films from the Perspective of the Audience," Mathematics, MDPI, vol. 12(10), pages 1-21, May.
    8. Mohamed Hanine & Omar Boutkhoum & Tarik Agouti & Abdessadek Tikniouine, 2017. "A new integrated methodology using modified Delphi-fuzzy AHP-PROMETHEE for Geospatial Business Intelligence selection," Information Systems and e-Business Management, Springer, vol. 15(4), pages 897-925, November.
    9. Zheng, Guozhong & Jing, Youyin & Huang, Hongxia & Shi, Guohua & Zhang, Xutao, 2010. "Developing a fuzzy analytic hierarchical process model for building energy conservation assessment," Renewable Energy, Elsevier, vol. 35(1), pages 78-87.
    10. Daniel Jugend & Hugo Henrique dos Santos & Susana Garrido & Regiane Máximo Siqueira & Jaime A. Mesa, 2024. "Circular product design challenges: An exploratory study on critical barriers," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4825-4842, July.
    11. Klaus D. Goepel, 2019. "Comparison of Judgment Scales of the Analytical Hierarchy Process — A New Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 445-463, March.
    12. Ping-Lung Huang & Bruce C.Y. Lee & Chen-Song Wang & Chi-Te Sun, 2017. "Relative Importance of the Factors under the ISO-10015 Quality Management Guidelines that Influence the Service Quality of Certification Bodies," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 13(1), pages 105-137, February.
    13. Kaixuan Liu & Jiayu Zhao & Chun Zhu, 2022. "Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    14. Kaya, İhsan, 2012. "Evaluation of outsourcing alternatives under fuzzy environment for waste management," Resources, Conservation & Recycling, Elsevier, vol. 60(C), pages 107-118.
    15. Mukund Pratap Singh & Pitam Singh & Priyamvada Singh, 2019. "Fuzzy AHP-based multi-criteria decision-making analysis for route alignment planning using geographic information system (GIS)," Journal of Geographical Systems, Springer, vol. 21(3), pages 395-432, September.
    16. Jahanifar, Komeil & Amirnejad, Hamid & Azadi, Hossein & Adenle, Ademola A. & Scheffran, Jürgen, 2019. "Economic analysis of land use changes in forests and rangelands: Developing conservation strategies," Land Use Policy, Elsevier, vol. 88(C).
    17. Junxi Zhu & Chia-Liang Lin, 2024. "Research on Service Quality for China’s Ceramic Product Design Industry," Mathematics, MDPI, vol. 12(18), pages 1-27, September.
    18. Panagiotis K. Marhavilas & Michael G. Tegas & Georgios K. Koulinas & Dimitrios E. Koulouriotis, 2020. "A Joint Stochastic/Deterministic Process with Multi-Objective Decision Making Risk-Assessment Framework for Sustainable Constructions Engineering Projects—A Case Study," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    19. Vecihi Yiğit & Nazlı Nisa Demir & Hisham Alidrisi & Mehmet Emin Aydin, 2020. "Elicitation of the Factors Affecting Electricity Distribution Efficiency Using the Fuzzy AHP Method," Mathematics, MDPI, vol. 9(1), pages 1-25, December.
    20. Shang, Delei & Yin, Guangzhi & Li, Xiaoshuang & Li, Yaoji & Jiang, Changbao & Kang, Xiangtao & Liu, Chao & Zhang, Chi, 2015. "Analysis for Green Mine (phosphate) performance of China: An evaluation index system," Resources Policy, Elsevier, vol. 46(P2), pages 71-84.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3156-:d:1373057. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.